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Firebug-like debugger for Google Chrome
...g-like tool already built into Chrome. Just right click anywhere on a page and choose "Inspect element" from the menu. Chrome has a graphical tool for debugging (like in Firebug), so you can debug JavaScript. It also does CSS inspection well and can even change CSS rendering on the fly.
For more in...
Simple explanation of clojure protocols
I'm trying to understand clojure protocols and what problem they are supposed to solve. Does anyone have a clear explanation of the whats and whys of clojure protocols?
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What should I put in a meteor .gitignore file?
...essing the .meteor dir has a combination of configuration files (needed) and temporary files (not needed).
15 Answers
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vim - How to delete a large block of text without counting the lines?
...eleting (or copying) large blocks of text. One can count the lines of text and say (for example) 50dd to delete 50 lines.
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Multiple GitHub Accounts & SSH Config
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Andy Lester's response is accurate but I found an important extra step I needed to make to get this to work. In trying to get two profiles set up, one for personal and one for work, my ~/.ssh/config was roughly as follows:
H...
Get underlined text with Markdown
I am using BlueCloth as a Markdown library for Ruby, and I can't find any syntax for getting a text underlined. What is it?
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What is the difference between task and thread?
...m.Threading.Tasks namespace. What is the true difference between Thread and Task . I did some sample program(help taken from MSDN) for my own sake of learning with
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Could not launch process launch failed: timed out waiting for app to launch
...y check it out your target --> Build Settings --> Code signing.
As @AndyDynn pointed out in his comment:
Make sure you do this on the "Target" build settings and not just the "Project" build settings.
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Convert Iterator to ArrayList
...tor to ArrayList<Element> (or List<Element> ) in the best and fastest way possible, so that we can use ArrayList 's operations on it such as get(index) , add(element) , etc.
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How to store a dataframe using Pandas
... it back using:
df = pd.read_pickle(file_name)
Note: before 0.11.1 save and load were the only way to do this (they are now deprecated in favor of to_pickle and read_pickle respectively).
Another popular choice is to use HDF5 (pytables) which offers very fast access times for large datasets:
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